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From Rankings to References: The Structural Shift from SEO to AEO 

By Rachel Hernandez

Google rankings are now just one of several interfaces where audiences can discover your brand online, and AI-generated answers are quickly becoming the default.  At this point, there’s a pressing need for brands to layer answer engine optimization (AEO) onto their existing SEO campaigns.  While some traditional SEO tactics (topical authority, high-quality backlinks) can compound … Continued

How Answer Engines Decide What to Cite: Explaining Citation Logic

By Rachel Hernandez

What makes an AI-powered answer engine like Claude or Perplexity choose to cite some pages but ignore others?  The reason boils down to the difference between vector search (semantic similarity) and classic search (keyword matches).  To get specific, answer engines pay attention to: Answer engines play by a different set of rules than traditional search … Continued

How AI Systems Parse, Compress, and Reuse Your Content

By Rachel Hernandez

If you don’t align your website with how AI understands content, you risk losing visibility on generative answer engines.  This can be true even if your content ranks well organically in Google’s classic ‘10 blue links’ setup. Visibility on generative engines like ChatGPT and Google’s AI Overviews has only become increasingly more important since their … Continued

The Hidden Cost of Inconsistent Brand Mentions 

By Rachel Hernandez

For many brands online, inconsistency is a blind spot that carries a hidden cost, especially on AI-driven search platforms.  In particular, inconsistent brand mentions quietly erode your authority in the background, which is something most visibility metrics won’t show you.  This presents the need for brand consistency SEO, a practice centered on forging a uniform … Continued

The Second Index: How LLMs are Forming a Parallel Internet 

By Rachel Hernandez

Through training on web-scale data and RAG (retrieval-augmented generation), LLMs are forging a second index of the internet.  Here’s what we mean.  Google’s massive search index (the first index) is based on syntax.  It relies on keywords, backlinks, URLs, and crawlable site structures. It’s optimized for efficient retrieval, not conceptual reasoning.  Searches match strings, then … Continued